| Deep learning for natural language processing Y Xie, L Le, Y Zhou, VV Raghavan Handbook of statistics 38, 317-328, 2018 | 43 | 2018 |
| Deep kernel: learning kernel function from data using deep neural network L Le, J Hao, Y Xie, J Priestley Proceedings of the 3rd IEEE/ACM international conference on big data …, 2016 | 26 | 2016 |
| An efficient hybrid webshell detection method for webserver of marine transportation systems HV Le, TN Nguyen, HN Nguyen, L Le IEEE Transactions on Intelligent Transportation Systems 24 (2), 2630-2642, 2021 | 20 | 2021 |
| Dqra: Deep quantum routing agent for entanglement routing in quantum networks L Le, TN Nguyen IEEE Transactions on Quantum Engineering 3, 1-12, 2022 | 17 | 2022 |
| Deep embedding kernel L Le, Y Xie Neurocomputing 339, 292-302, 2019 | 17 | 2019 |
| Dual deep learning architecture for machine-learning systems Y Xie, L Le US Patent 11,461,383, 2022 | 16 | 2022 |
| Deep similarity-enhanced k nearest neighbors L Le, Y Xie, VV Raghavan 2018 IEEE International Conference on Big Data (Big Data), 2643-2650, 2018 | 7 | 2018 |
| A multiple-entanglement routing framework for quantum networks TN Nguyen, KJ Ambarani, L Le, I Djordjevic, ZL Zhang arXiv preprint arXiv:2207.11817, 2022 | 6 | 2022 |
| Visualization of big high dimensional data in a three dimensional space Y Xie, P Chenna, J He, L Le, J Planteen Proceedings of the 3rd IEEE/ACM International Conference on Big Data …, 2016 | 6 | 2016 |
| KNN loss and deep KNN L Le, Y Xie, VV Raghavan Fundamenta Informaticae 182 (2), 95-110, 2021 | 4 | 2021 |
| Recurrent embedding kernel for predicting stock daily direction L Le, Y Xie 2018 IEEE/ACM 5th International Conference on Big Data Computing …, 2018 | 4 | 2018 |
| Entanglement routing for quantum networks: a deep reinforcement learning approach L Le, TN Nguyen, A Lee, B Dumba ICC 2022-IEEE International Conference on Communications, 2022 | 3 | 2022 |
| Retrieving and classifying LinkedIn job titles for alumni career analysis L Li, S Peltsverger, J Zheng, L Le, M Handlin Proceedings of the 22nd Annual Conference on Information Technology …, 2021 | 3 | 2021 |
| Unsupervised deep kernel for high dimensional data Y Xie, L Le, J Hao 2017 International Joint Conference on Neural Networks (IJCNN), 294-299, 2017 | 3 | 2017 |
| 5G network slicing and drone-assisted applications: a deep reinforcement learning approach L Le, TN Nguyen, K Suo, J He Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted …, 2022 | 2 | 2022 |
| Analysis of students’ concentration levels for online learning using webcam feeds L Le, Y Xie, S Chakravarty, M Hales, J Johnson, TN Nguyen 2021 IEEE International Conference on Big Data (Big Data), 5517-5523, 2021 | 2 | 2021 |
| Efficient embedding VNFs in 5G network slicing: a deep reinforcement learning approach L Le, TN Nguyen, K Suo, J He arXiv preprint arXiv:2207.11822, 2022 | 1 | 2022 |
| Guest Editorial: Deep learning assisted visual iot technologies for critical infrastructure protection T Nguyen, L Le, V Piuri, BB Gupta, L Qi, S Mumtaz, HC Lee IEEE Internet of Things Magazine 5 (2), 10-12, 2022 | 1 | 2022 |
| Comparison Between Active and Passive Attention Using EEG Waves and Deep Neural Network S Chakravarty, Y Xie, L Le, J Johnson, M Hales Brain Informatics: 14th International Conference, BI 2021, Virtual Event …, 2021 | 1 | 2021 |
| Deep pose alignment L Le, Y Xie, S Alagapan, S Chakravarty, P Ordonez, M Hales, J Johnson 2020 IEEE International Conference on Big Data (Big Data), 5366-5372, 2020 | 1 | 2020 |
